Triple

T4785368
Position Surface form Disambiguated ID Type / Status
Subject NOVA School of Science and Technology E106462 entity
Predicate city P40 FINISHED
Object Caparica E109941 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Caparica | Statement: [NOVA School of Science and Technology, city, Caparica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caparica
Context triple: [NOVA School of Science and Technology, city, Caparica]
  • A. Costa da Caparica chosen
    Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
  • B. Estoril
    Estoril is a coastal resort town in the municipality of Cascais, Portugal, known for its beaches, casino, and historic role as a refuge for exiled royalty and political figures.
  • C. Praia da Luz
    Praia da Luz is a popular seaside resort village in Portugal’s Algarve region, known for its sandy beach, cliffs, and tourist-oriented waterfront.
  • D. Vilamoura
    Vilamoura is a major Portuguese resort town in the Algarve, known for its large marina, golf courses, beaches, and upscale tourist facilities.
  • E. Porto de Mós
    Porto de Mós is a Portuguese town and municipality known for its hilltop castle and location near the limestone landscapes and caves of central Portugal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65b0ea408190b348d917883381de completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c3ab02081908b308880afbd8f5a completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:22 p.m.